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"""
==========================================
Statistical functions (:mod:`scipy.stats`)
==========================================
.. module:: scipy.stats
This module contains a large number of probability distributions as
well as a growing library of statistical functions.
Each included distribution is an instance of the class rv_continous:
For each given name the following methods are available:
.. autosummary::
:toctree: generated/
rv_continuous
rv_continuous.rvs
rv_continuous.pdf
rv_continuous.logpdf
rv_continuous.cdf
rv_continuous.logcdf
rv_continuous.sf
rv_continuous.logsf
rv_continuous.ppf
rv_continuous.isf
rv_continuous.moment
rv_continuous.stats
rv_continuous.entropy
rv_continuous.fit
rv_continuous.expect
rv_continuous.median
rv_continuous.mean
rv_continuous.var
rv_continuous.std
rv_continuous.interval
Calling the instance as a function returns a frozen pdf whose shape,
location, and scale parameters are fixed.
Similarly, each discrete distribution is an instance of the class
rv_discrete:
.. autosummary::
:toctree: generated/
rv_discrete
rv_discrete.rvs
rv_discrete.pmf
rv_discrete.logpmf
rv_discrete.cdf
rv_discrete.logcdf
rv_discrete.sf
rv_discrete.logsf
rv_discrete.ppf
rv_discrete.isf
rv_discrete.stats
rv_discrete.moment
rv_discrete.entropy
rv_discrete.expect
rv_discrete.median
rv_discrete.mean
rv_discrete.var
rv_discrete.std
rv_discrete.interval
Continuous distributions
========================
.. autosummary::
:toctree: generated/
norm -- Normal (Gaussian)
alpha -- Alpha
anglit -- Anglit
arcsine -- Arcsine
beta -- Beta
betaprime -- Beta Prime
bradford -- Bradford
burr -- Burr
cauchy -- Cauchy
chi -- Chi
chi2 -- Chi-squared
cosine -- Cosine
dgamma -- Double Gamma
dweibull -- Double Weibull
erlang -- Erlang
expon -- Exponential
exponweib -- Exponentiated Weibull
exponpow -- Exponential Power
f -- F (Snecdor F)
fatiguelife -- Fatigue Life (Birnbaum-Sanders)
fisk -- Fisk
foldcauchy -- Folded Cauchy
foldnorm -- Folded Normal
frechet_r -- Frechet Right Sided, Extreme Value Type II (Extreme LB) or weibull_min
frechet_l -- Frechet Left Sided, Weibull_max
genlogistic -- Generalized Logistic
genpareto -- Generalized Pareto
genexpon -- Generalized Exponential
genextreme -- Generalized Extreme Value
gausshyper -- Gauss Hypergeometric
gamma -- Gamma
gengamma -- Generalized gamma
genhalflogistic -- Generalized Half Logistic
gilbrat -- Gilbrat
gompertz -- Gompertz (Truncated Gumbel)
gumbel_r -- Right Sided Gumbel, Log-Weibull, Fisher-Tippett, Extreme Value Type I
gumbel_l -- Left Sided Gumbel, etc.
halfcauchy -- Half Cauchy
halflogistic -- Half Logistic
halfnorm -- Half Normal
hypsecant -- Hyperbolic Secant
invgamma -- Inverse Gamma
invgauss -- Inverse Gaussian
invweibull -- Inverse Weibull
johnsonsb -- Johnson SB
johnsonsu -- Johnson SU
ksone -- Kolmogorov-Smirnov one-sided (no stats)
kstwobign -- Kolmogorov-Smirnov two-sided test for Large N (no stats)
laplace -- Laplace
logistic -- Logistic
loggamma -- Log-Gamma
loglaplace -- Log-Laplace (Log Double Exponential)
lognorm -- Log-Normal
lomax -- Lomax (Pareto of the second kind)
maxwell -- Maxwell
mielke -- Mielke's Beta-Kappa
nakagami -- Nakagami
ncx2 -- Non-central chi-squared
ncf -- Non-central F
nct -- Non-central Student's T
pareto -- Pareto
powerlaw -- Power-function
powerlognorm -- Power log normal
powernorm -- Power normal
rdist -- R-distribution
reciprocal -- Reciprocal
rayleigh -- Rayleigh
rice -- Rice
recipinvgauss -- Reciprocal Inverse Gaussian
semicircular -- Semicircular
t -- Student's T
triang -- Triangular
truncexpon -- Truncated Exponential
truncnorm -- Truncated Normal
tukeylambda -- Tukey-Lambda
uniform -- Uniform
vonmises -- Von-Mises (Circular)
wald -- Wald
weibull_min -- Minimum Weibull (see Frechet)
weibull_max -- Maximum Weibull (see Frechet)
wrapcauchy -- Wrapped Cauchy
Discrete distributions
======================
.. autosummary::
:toctree: generated/
binom -- Binomial
bernoulli -- Bernoulli
nbinom -- Negative Binomial
geom -- Geometric
hypergeom -- Hypergeometric
logser -- Logarithmic (Log-Series, Series)
poisson -- Poisson
planck -- Planck (Discrete Exponential)
boltzmann -- Boltzmann (Truncated Discrete Exponential)
randint -- Discrete Uniform
zipf -- Zipf
dlaplace -- Discrete Laplacian
Statistical functions
=====================
Several of these functions have a similar version in scipy.stats.mstats
which work for masked arrays.
.. autosummary::
:toctree: generated/
gmean -- Geometric mean
hmean -- Harmonic mean
mean -- Arithmetic mean
cmedian -- Computed median
median -- Median
mode -- Modal value
tmean -- Truncated arithmetic mean
tvar -- Truncated variance
tmin _
tmax _
tstd _
tsem _
moment -- Central moment
variation -- Coefficient of variation
skew -- Skewness
kurtosis -- Fisher or Pearson kurtosis
describe -- Descriptive statistics
skewtest _
kurtosistest _
normaltest _
.. autosummary::
:toctree: generated/
itemfreq _
scoreatpercentile _
percentileofscore _
histogram2 _
histogram _
cumfreq _
relfreq _
.. autosummary::
:toctree: generated/
obrientransform
signaltonoise
bayes_mvs
sem
zmap
zscore
.. autosummary::
:toctree: generated/
threshold
trimboth
trim1
.. autosummary::
:toctree: generated/
f_oneway
pearsonr
spearmanr
pointbiserialr
kendalltau
linregress
.. autosummary::
:toctree: generated/
ttest_1samp
ttest_ind
ttest_rel
kstest
chisquare
ks_2samp
mannwhitneyu
tiecorrect
ranksums
wilcoxon
kruskal
friedmanchisquare
.. autosummary::
:toctree: generated/
ansari
bartlett
levene
shapiro
anderson
binom_test
fligner
mood
oneway
Contingency table functions
===========================
.. autosummary::
:toctree: generated/
fisher_exact
chi2_contingency
contingency.expected_freq
contingency.margins
General linear model
====================
.. autosummary::
:toctree: generated/
glm
Plot-tests
==========
.. autosummary::
:toctree: generated/
probplot
ppcc_max
ppcc_plot
Masked statistics functions
===========================
.. toctree::
stats.mstats
Univariate and multivariate kernel density estimation (:mod:`scipy.stats.kde`)
==============================================================================
.. autosummary::
:toctree: generated/
gaussian_kde
For many more stat related functions install the software R and the
interface package rpy.
"""
from stats import *
from distributions import *
from rv import *
from morestats import *
from kde import gaussian_kde
import mstats
from contingency import chi2_contingency
#remove vonmises_cython from __all__, I don't know why it is included
__all__ = filter(lambda s:not (s.startswith('_') or s.endswith('cython')),dir())
from numpy.testing import Tester
test = Tester().test
|
